https://github.com/public-health-scotland/list-examples

A collection of best practice examples for use by LIST team members.
https://github.com/public-health-scotland/list-examples

Last synced: 6 days ago
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A collection of best practice examples for use by LIST team members.

• Host: GitHub
• URL: https://github.com/public-health-scotland/list-examples
• Owner: Public-Health-Scotland
• Created: 2023-11-22T11:28:07.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-05-22T09:42:04.000Z (6 months ago)
• Last Synced: 2024-05-22T16:22:48.964Z (6 months ago)
• Language: R
• Size: 1.14 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# LIST-examples

A collection of best practice examples for use by LIST team members.

 * A Git / GitHub initial setup guide - [set-up-GitHub.md]()

 * [Geospatial examples](Geospacial)

 * [SMRA examples](SMRA)

## Using the examples

The simplest (and recommended) way to use these examples is to copy and paste the code as needed, into your scripts.

## Contributing

This repository is publicly viewable but only members of the [LIST GitHub team](https://github.com/orgs/Public-Health-Scotland/teams/local-intelligence-support-team-list) can interact with it. 

### Suggesting / Requesting an example

You can [open an issue](https://github.com/Public-Health-Scotland/LIST-examples/issues) to suggest a topic/method, or even to post some code.

### Contributing code

Any new topic should have its own folder, and any scripts should be placed in that folder. Scripts should be as short as possible to illustrate the specific example.

You can contribute code through a Pull Request. A simple way to add a script is to use the [GitHub new file creation tool](https://github.com/Public-Health-Scotland/LIST-examples/new/main), and paste your code into the box and add the folder name into the file name. For example to add a new script `random_forest.R` to a new folder `Machine_Learning`, you would give it the file 'name' `Machine_Learning/random_forest.R`.

If possible, add or update the README.md in the topic folder.